Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling



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Éditeur :

Springer


Collection :

International Series in Operations Research & Management Science

Paru le : 2016-01-27



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Description

The scope of this book is limited to heuristics, metaheuristics, and approximate methods and algorithms as applied to planning and scheduling problems. While it is not possible to give a comprehensive treatment of this topic in one book, the aim of this work is to provide the reader with a diverse set of planning and scheduling problems and different heuristic approaches to solve them. The problems range from traditional single stage and parallel machine problems to more modern settings such as robotic cells and flexible job shop networks. Furthermore, some chapters deal with deterministic problems while some others treat stochastic versions of the problems. Unlike most of the literature that deals with planning and scheduling problems in the manufacturing and production environments, in this book the environments were extended to nontraditional applications such as spatial scheduling (optimizing space over time), runway scheduling, and surgical scheduling. The solution methods usedin the different chapters of the book also spread from well-established heuristics and metaheuristics such as Genetic Algorithms and Ant Colony Optimization to more recent ones such as Meta-RaPS.

Pages
264 pages
Collection
International Series in Operations Research & Management Science
Parution
2016-01-27
Marque
Springer
EAN papier
9783319260228
EAN PDF
9783319260242

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
26
Taille du fichier
4567 Ko
Prix
94,94 €
EAN EPUB
9783319260242

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
26
Taille du fichier
2263 Ko
Prix
94,94 €